ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1306.0160
  4. Cited By
Phase Retrieval using Alternating Minimization

Phase Retrieval using Alternating Minimization

2 June 2013
Praneeth Netrapalli
Prateek Jain
Sujay Sanghavi
ArXivPDFHTML

Papers citing "Phase Retrieval using Alternating Minimization"

50 / 53 papers shown
Title
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization
Namrata Vaswani
44
0
0
20 Apr 2025
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image
  Prior
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior
Zongyu Li
Jason Hu
Xiaojian Xu
Liyue Shen
Jeffrey A. Fessler
DiffM
24
3
0
12 May 2023
Provable Phase Retrieval with Mirror Descent
Provable Phase Retrieval with Mirror Descent
Jean-Jacques-Narcisse Godeme
M. Fadili
Xavier Buet
M. Zerrad
M. Lequime
C. Amra
23
4
0
17 Oct 2022
Misspecified Phase Retrieval with Generative Priors
Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu
Xinshao Wang
Jiulong Liu
46
4
0
11 Oct 2022
Subspace Phase Retrieval
Subspace Phase Retrieval
Meng Xu
Dekuan Dong
J. Wang
19
2
0
06 Jun 2022
Randomly Initialized Alternating Least Squares: Fast Convergence for
  Matrix Sensing
Randomly Initialized Alternating Least Squares: Fast Convergence for Matrix Sensing
Kiryung Lee
Dominik Stöger
31
11
0
25 Apr 2022
Randomized Policy Optimization for Optimal Stopping
Randomized Policy Optimization for Optimal Stopping
Xinyi Guan
V. Mišić
19
2
0
25 Mar 2022
Matrix Completion with Hierarchical Graph Side Information
Matrix Completion with Hierarchical Graph Side Information
Adel M. Elmahdy
Junhyung Ahn
Changho Suh
S. Mohajer
23
15
0
02 Jan 2022
Estimation in Rotationally Invariant Generalized Linear Models via
  Approximate Message Passing
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
R. Venkataramanan
Kevin Kögler
Marco Mondelli
27
32
0
08 Dec 2021
Optimal convex lifted sparse phase retrieval and PCA with an atomic
  matrix norm regularizer
Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer
Andrew D. McRae
Justin Romberg
Mark A. Davenport
35
8
0
08 Nov 2021
Nonconvex Factorization and Manifold Formulations are Almost Equivalent
  in Low-rank Matrix Optimization
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization
Yuetian Luo
Xudong Li
Anru R. Zhang
33
9
0
03 Aug 2021
Small random initialization is akin to spectral learning: Optimization
  and generalization guarantees for overparameterized low-rank matrix
  reconstruction
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
Dominik Stöger
Mahdi Soltanolkotabi
ODL
42
75
0
28 Jun 2021
Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical
  Models, Deep Learning, and New Scenes
Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes
Ruixu Geng
Yang Hu
Yan Chen
19
30
0
28 Apr 2021
Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime
Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime
Richard Y. Zhang
47
25
0
21 Apr 2021
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm
  based on Hypernetwork
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork
Chang-Jen Wang
Chao-Kai Wen
Shang-Ho
S. Tsai
Shi Jin
Geoffrey Ye Li
27
5
0
12 Jan 2021
On the Efficient Implementation of the Matrix Exponentiated Gradient
  Algorithm for Low-Rank Matrix Optimization
On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization
Dan Garber
Atara Kaplan
16
4
0
18 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
42
165
0
15 Dec 2020
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
Sitan Chen
Xiaoxiao Li
Zhao Song
Danyang Zhuo
27
13
0
23 Nov 2020
Recursive Importance Sketching for Rank Constrained Least Squares:
  Algorithms and High-order Convergence
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence
Yuetian Luo
Wen Huang
Xudong Li
Anru R. Zhang
23
15
0
17 Nov 2020
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for
  High-Dimensional Mixed Linear Regression
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression
Linjun Zhang
Rong Ma
T. Tony Cai
Hongzhe Li
44
12
0
06 Nov 2020
Solving Phase Retrieval with a Learned Reference
Solving Phase Retrieval with a Learned Reference
Rakib Hyder
Zikui Cai
Ulugbek S. Kamilov
13
24
0
29 Jul 2020
Phase retrieval in high dimensions: Statistical and computational phase
  transitions
Phase retrieval in high dimensions: Statistical and computational phase transitions
Antoine Maillard
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
26
57
0
09 Jun 2020
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical
  Estimation
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation
Avishek Ghosh
A. Pananjady
Adityanand Guntuboyina
Kannan Ramchandran
17
25
0
21 Jun 2019
Alternating Phase Projected Gradient Descent with Generative Priors for
  Solving Compressive Phase Retrieval
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval
Rakib Hyder
Viraj Shah
C. Hegde
Ulugbek S. Kamilov
21
45
0
07 Mar 2019
Analysis of Spectral Methods for Phase Retrieval with Random Orthogonal
  Matrices
Analysis of Spectral Methods for Phase Retrieval with Random Orthogonal Matrices
Rishabh Dudeja
Milad Bakhshizadeh
Junjie Ma
A. Maleki
21
20
0
07 Mar 2019
Quantization-Aware Phase Retrieval
Quantization-Aware Phase Retrieval
Subhadip Mukherjee
C. Seelamantula
MQ
11
2
0
02 Oct 2018
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
Kwangjun Ahn
Kangwook Lee
Changho Suh
24
62
0
23 May 2018
Parallel and Distributed Successive Convex Approximation Methods for
  Big-Data Optimization
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
G. Scutari
Ying Sun
35
61
0
17 May 2018
Non-convex Optimization for Machine Learning
Non-convex Optimization for Machine Learning
Prateek Jain
Purushottam Kar
33
479
0
21 Dec 2017
Misspecified Nonconvex Statistical Optimization for Phase Retrieval
Misspecified Nonconvex Statistical Optimization for Phase Retrieval
Zhuoran Yang
Lin F. Yang
Ethan X. Fang
T. Zhao
Zhaoran Wang
Matey Neykov
16
15
0
18 Dec 2017
Blind Gain and Phase Calibration via Sparse Spectral Methods
Blind Gain and Phase Calibration via Sparse Spectral Methods
Yanjun Li
Kiryung Lee
Y. Bresler
24
27
0
30 Nov 2017
Solving Almost all Systems of Random Quadratic Equations
Solving Almost all Systems of Random Quadratic Equations
G. Wang
G. Giannakis
Y. Saad
Jie Chen
34
25
0
29 May 2017
On the Gap Between Strict-Saddles and True Convexity: An Omega(log d)
  Lower Bound for Eigenvector Approximation
On the Gap Between Strict-Saddles and True Convexity: An Omega(log d) Lower Bound for Eigenvector Approximation
Max Simchowitz
A. Alaoui
Benjamin Recht
18
13
0
14 Apr 2017
Restoration of Images with Wavefront Aberrations
Restoration of Images with Wavefront Aberrations
Claudius Zelenka
Reinhard Koch
11
1
0
02 Apr 2017
How to Escape Saddle Points Efficiently
How to Escape Saddle Points Efficiently
Chi Jin
Rong Ge
Praneeth Netrapalli
Sham Kakade
Michael I. Jordan
ODL
37
831
0
02 Mar 2017
Phase Transitions of Spectral Initialization for High-Dimensional
  Nonconvex Estimation
Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation
Yue M. Lu
Gen Li
23
89
0
21 Feb 2017
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex
  Relaxation
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation
S. Bahmani
Justin Romberg
23
120
0
13 Oct 2016
A Non-convex One-Pass Framework for Generalized Factorization Machine
  and Rank-One Matrix Sensing
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing
Ming Lin
Jieping Ye
37
21
0
21 Aug 2016
Biconvex Relaxation for Semidefinite Programming in Computer Vision
Biconvex Relaxation for Semidefinite Programming in Computer Vision
Sohil Shah
A. Yadav
Carlos D. Castillo
David Jacobs
Christoph Studer
Tom Goldstein
16
24
0
31 May 2016
Fast Algorithms for Robust PCA via Gradient Descent
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi
Dohyung Park
Yudong Chen
C. Caramanis
24
265
0
25 May 2016
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers
Huishuai Zhang
Yuejie Chi
Yingbin Liang
22
55
0
11 Mar 2016
When Are Nonconvex Problems Not Scary?
When Are Nonconvex Problems Not Scary?
Ju Sun
Qing Qu
John N. Wright
24
166
0
21 Oct 2015
Dropping Convexity for Faster Semi-definite Optimization
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli
Anastasios Kyrillidis
Sujay Sanghavi
27
172
0
14 Sep 2015
Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via
  Thresholded Wirtinger Flow
Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow
T. Tony Cai
Xiaodong Li
Zongming Ma
29
232
0
10 Jun 2015
Complete Dictionary Recovery over the Sphere
Complete Dictionary Recovery over the Sphere
Ju Sun
Qing Qu
John N. Wright
33
202
0
26 Apr 2015
Simple, Efficient, and Neural Algorithms for Sparse Coding
Simple, Efficient, and Neural Algorithms for Sparse Coding
Sanjeev Arora
Rong Ge
Tengyu Ma
Ankur Moitra
45
190
0
02 Mar 2015
Two convergence results for an alternation maximization procedure
Two convergence results for an alternation maximization procedure
A. Andresen
V. Spokoiny
42
2
0
07 Jan 2015
Finding a sparse vector in a subspace: Linear sparsity using alternating
  directions
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
Qing Qu
Ju Sun
John N. Wright
16
111
0
15 Dec 2014
Guaranteed Matrix Completion via Non-convex Factorization
Guaranteed Matrix Completion via Non-convex Factorization
Ruoyu Sun
Zhi-Quan Luo
40
450
0
28 Nov 2014
Non-convex Robust PCA
Non-convex Robust PCA
Praneeth Netrapalli
U. Niranjan
Sujay Sanghavi
Anima Anandkumar
Prateek Jain
48
284
0
28 Oct 2014
12
Next